Face recognition based on Beta 2D Elastic Bunch Graph Matching

Elastic Bunch Graph Matching EBGM is a face recognition algorithm that is distributed with CSU's Evaluation of Face Recognition Algorithms System. The algorithm recognizes novel faces by first localizing a set of landmark features and then measuring similarity between these features. Both localization and comparison uses Gabor jets extracted at landmark positions. In order to improve the performance of the face recognition system[7][8], we have associated Beta filters to the EBGM technique. This choice of Beta filters is advanced by the performance of these functions in many applications of classification and pattern recognition.